33 lines
988 B
Matlab
33 lines
988 B
Matlab
function [train_users, dev_users] = get_balanced_fold(UNBC_dir, users, au, prop_test, offset)
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[ labels_train, valid_ids_train, filenames ] = extract_UNBC_labels(UNBC_dir, users, au);
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% trimming the filenames a bit
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for f=1:numel(filenames)
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filenames{f} = filenames{f}(1:5);
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end
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counts = zeros(numel(users),1);
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for k=1:numel(users)
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counts(k) = sum(cat(1, labels_train{strcmp(filenames, users{k}(5:end))}));
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end
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[sorted, inds] = sort(counts);
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dev_users = users(inds(offset:round(1/prop_test):end));
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train_users = setdiff(users, dev_users);
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count_dev = 0;
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count_train = 0;
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for k=1:numel(users)
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if(any(strcmp(dev_users, users{k})))
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count_dev = count_dev + counts(k);
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else
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count_train = count_train + counts(k);
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end
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end
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fprintf('Mean train %.2f, mean test %.2f\n', count_train / numel(train_users), count_dev / numel(dev_users));
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end |